
1001 - 5000 employees
☁️ SaaS
🤝 B2B
SaaS • B2B
SurveyMonkey is an online survey and forms platform that lets organizations and individuals build, send, and analyze surveys to collect feedback and insights. The platform offers 500+ templates, AI-assisted survey creation, a global audience panel of 335M+ respondents, analytics and integrations, and enterprise-grade features for secure, large-scale survey programs. It’s used across customer experience, employee feedback, market research, event registration, and more; the company markets itself as a continuous insights/SaaS platform serving 260K+ organizations worldwide.
🔥 21 hours ago
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1001 - 5000 employees
☁️ SaaS
🤝 B2B
SaaS • B2B
SurveyMonkey is an online survey and forms platform that lets organizations and individuals build, send, and analyze surveys to collect feedback and insights. The platform offers 500+ templates, AI-assisted survey creation, a global audience panel of 335M+ respondents, analytics and integrations, and enterprise-grade features for secure, large-scale survey programs. It’s used across customer experience, employee feedback, market research, event registration, and more; the company markets itself as a continuous insights/SaaS platform serving 260K+ organizations worldwide.
• Set strategy for building AI-native product experiences • Lead the AI platform that enables AI capabilities across SurveyMonkey’s product • Lead product strategy for agentic and conversational survey experiences • Influence intelligent, automated workflows for survey programs • Define and execute a multi-phase strategy for turning SurveyMonkey’s data corpus into a customer-facing competitive advantage • Develop cross-survey intelligence, industry benchmarks, and predictive signals • Lead a team of product managers focused on AI platform and data products • Partner closely with engineering, LLM infrastructure, and data science teams • Maintain direct line of sight to the CPO
• Proven track record building an AI/ML platform at scale • Experience shipping agentic products • Understanding of LLM-powered workflows, tool use, and autonomous agent design • Strong data background where data was central to the product value proposition • Director-level product management leadership experience • Experience in a high-growth or platform-transformation context ideally • Ability to operate as a peer to VP-level engineering and data science leaders • Evidence that strategy work changed directions • Must reside in Ontario or Alberta • Legally entitled to work in Canada • Must not require employment visa sponsorship to work legally in Canada
• Medical, dental, vision, life, and disability insurance • RRSP matching • Flexible spending and health savings account • Paid holidays • Paid time off • Employee assistance program • Competitive benefits package • Flexible, hybrid environment • CHOICE Fund programs • Company events and in-person participation opportunities
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